Google Compute Engine Machine Type n4-highcpu-2
General-purpose Google Compute Engine machine type n4-highcpu-2 with 2 vCPU and 4 GB memory. Available in 41 Google Cloud regions.
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Google Cloud VM n4-highcpu-2
Technical facts about the Google Compute Engine machine type n4-highcpu-2.
| Series | N4 |
|---|---|
| Family | General-purpose |
| vCPU | 2 |
| Memory | 4 GB |
| CPU Manufactur | Intel |
| CPU Platform |
|
| CPU Base Frequency | 2.1 GHz |
| CPU Turbo Frequency | 2.9 GHz |
| CPU Max. Turbo Frequency | 3.3 GHz |
| EEMBC CoreMark Benchmark (?) | 44397 |
| EEMBC CoreMark Standard Deviation | 0.26 % |
| EEMBC CoreMark Sample Count | 80 |
| SAP Standard Benchmark (?) | - |
| Network Bandwidth | 10 Gbps |
| Network Tier 1 | - |
| Max. Disk Size | 257 TB |
| Max. Number of Disks | 128 |
| Local SSD | ❌ Optional |
| SAP Application | ❌ |
| SAP HANA | ❌ |
| Spot Provisioning Mode (Spot VM) | ✔️ |
| Sustained Use Discount (SUD) | ❌ |
| GCE API Description | 2 vCPUs, 4 GB RAM |
Costs (Pricing) for n4-highcpu-2
Cost and pricing across all regions for Google Cloud VM n4-highcpu-2.
Price per Hour
| Min. | Avg. | Max. | |
|---|---|---|---|
| Standard price per hour | 0.0765 | 0.0903 | 0.1225 |
| Spot provisioning model (Spot VM) | 0.0131 | 0.0304 | 0.0492 |
Price per Month
| Min. | Avg. | Max. | |
|---|---|---|---|
| Price per month | 55.87 | 65.89 | 89.4 |
| Spot provisioning model (Spot VM) | 9.57 | 22.18 | 35.88 |
| 1 year commitment (CUD) | 35.2 | 41.51 | 56.32 |
| 3 year commitment (CUD) | 25.14 | 29.73 | 40.23 |
Operating System Licenses Costs
Monthly costs for paid premium operating system licenses for Google Compute Engine machine type n4-highcpu-2.
| Operating System | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|
| Microsoft Windows Server | 67.16 | ||
| SUSE Linux Enterprise Server | 80.3 | ||
| Red Hat Enterprise Linux | 21.02 | 21.02 | 21.02 |
| SUSE Linux Enterprise Server for SAP | 124.1 | 50.01 | 44.72 |
| Red Hat Enterprise Linux for SAP | 32.85 | 32.85 | 32.85 |
Price per Region
Costs and pricing for Google Compute Engine machine type n4-highcpu-2 in Google Cloud regions in which the VM is available. Between the most expensive and the cheapest region is a price difference of 38%.
| Region | Location | #Zones | #Platf. | Hour | Spot | Month | 1Y CUD | 3Y CUD |
|---|---|---|---|---|---|---|---|---|
| us-central1 | Iowa 🍃 | 4 | 1 | 0.0765 | 0.0327 | 55.87 | 35.2 | 25.14 |
| us-east1 | South Carolina | 3 | 1 | 0.0765 | 0.0327 | 55.87 | 35.2 | 25.14 |
| us-east4 | Northern Virginia | 3 | 1 | 0.0765 | 0.028 | 55.87 | 35.2 | 25.14 |
| us-east5 | Columbus | 3 | 1 | 0.0765 | 0.0196 | 55.87 | 35.2 | 25.14 |
| us-west1 | Oregon 🍃 | 3 | 1 | 0.0765 | 0.0327 | 55.87 | 35.2 | 25.14 |
| asia-south1 | Mumbai | 3 | 1 | 0.0796 | 0.0292 | 58.11 | 36.61 | 26.15 |
| asia-south2 | Delhi | 3 | 1 | 0.0796 | 0.014 | 58.11 | 36.61 | 26.15 |
| asia-southeast3 | Bangkok | 3 | 1 | 0.0804 | 0.0269 | 58.67 | 36.96 | 26.4 |
| europe-north2 | Stockholm 🍃 | 3 | 1 | 0.0804 | 0.0319 | 58.67 | 36.96 | 27.36 |
| europe-west4 | Netherlands 🍃 | 3 | 1 | 0.0804 | 0.021 | 58.67 | 36.96 | 27.36 |
| northamerica-south1 | Mexico | 3 | 1 | 0.0834 | 0.0417 | 60.9 | 38.37 | 27.41 |
| me-west1 | Tel Aviv | 2 | 1 | 0.0842 | 0.0228 | 61.46 | 38.72 | 27.66 |
| africa-south1 | Johannesburg | 3 | 1 | 0.0843 | 0.0233 | 61.52 | 38.76 | 27.69 |
| europe-north1 | Finland 🍃 | 3 | 1 | 0.0843 | 0.0352 | 61.52 | 38.76 | 27.69 |
| europe-west1 | Belgium 🍃 | 3 | 1 | 0.0843 | 0.0131 | 61.52 | 38.76 | 27.69 |
| northamerica-northeast1 | Montréal 🍃 | 2 | 1 | 0.0843 | 0.0253 | 61.52 | 38.76 | 27.69 |
| northamerica-northeast2 | Toronto 🍃 | 2 | 1 | 0.0843 | 0.0249 | 61.52 | 38.76 | 27.69 |
| us-west4 | Las Vegas | 3 | 1 | 0.0862 | 0.0408 | 62.93 | 39.65 | 28.32 |
| europe-west2 | London 🍃 | 3 | 1 | 0.0873 | 0.0294 | 63.7 | 40.13 | 28.66 |
| asia-east1 | Taiwan | 3 | 1 | 0.0886 | 0.0443 | 64.7 | 40.76 | 29.11 |
| europe-west8 | Milan | 3 | 1 | 0.0888 | 0.0218 | 64.81 | 40.83 | 29.17 |
| europe-west9 | Paris 🍃 | 3 | 1 | 0.0888 | 0.0243 | 64.81 | 40.83 | 29.17 |
| europe-southwest1 | Madrid 🍃 | 3 | 1 | 0.0903 | 0.0242 | 65.93 | 41.54 | 29.67 |
| europe-west3 | Frankfurt | 3 | 1 | 0.0903 | 0.0396 | 65.93 | 41.54 | 29.67 |
| us-south1 | Dallas 🍃 | 2 | 1 | 0.0903 | 0.0209 | 65.93 | 41.54 | 29.67 |
| us-west2 | Los Angeles | 3 | 1 | 0.092 | 0.0435 | 67.17 | 42.31 | 30.23 |
| us-west3 | Salt Lake City | 3 | 1 | 0.092 | 0.0193 | 67.17 | 42.31 | 30.23 |
| europe-central2 | Warsaw | 2 | 1 | 0.0926 | 0.0391 | 67.61 | 42.59 | 30.42 |
| me-central1 | Doha | 2 | 1 | 0.093 | 0.0408 | 67.89 | 42.77 | 30.81 |
| asia-southeast1 | Singapore | 3 | 1 | 0.0944 | 0.0373 | 68.93 | 43.43 | 31.02 |
| australia-southeast1 | Sydney | 3 | 1 | 0.0957 | 0.04 | 69.84 | 44 | 32.57 |
| asia-northeast1 | Tokyo | 3 | 1 | 0.0983 | 0.0492 | 71.75 | 45.2 | 32.29 |
| asia-northeast2 | Osaka | 3 | 1 | 0.0983 | 0.0283 | 71.75 | 45.2 | 32.29 |
| asia-northeast3 | Seoul | 3 | 1 | 0.0983 | 0.043 | 71.75 | 45.2 | 32.29 |
| australia-southeast2 | Melbourne | 3 | 1 | 0.0995 | 0.0266 | 72.64 | 45.76 | 32.69 |
| europe-west6 | Zurich 🍃 | 3 | 1 | 0.1003 | 0.0408 | 73.2 | 46.11 | 32.94 |
| asia-southeast2 | Jakarta | 3 | 1 | 0.1029 | 0.0384 | 75.13 | 47.33 | 33.81 |
| asia-east2 | Hong Kong | 3 | 1 | 0.1071 | 0.0189 | 78.16 | 49.24 | 35.17 |
| southamerica-west1 | Santiago 🍃 | 3 | 1 | 0.1095 | 0.0297 | 79.9 | 50.34 | 35.96 |
| southamerica-east1 | São Paulo 🍃 | 3 | 1 | 0.1215 | 0.0284 | 88.72 | 55.9 | 39.93 |
| me-central2 | Dammam | 2 | 1 | 0.1225 | 0.0217 | 89.4 | 56.32 | 40.23 |